Visualize and Retrieve Data

Visualization System


 

View, graph, and export GLOBE data from around the world with the GLOBE Visualization System. You can use our various filters to find both contemporary measurements as well as historical data ranging all the way back to 1995. Currently, our system supports a subset of our protocols, but we're continually adding new features, so be sure to check back for our latest updates. 
 

enter vis system


How to use the Visualization System 

Learn how to call data, set up graphs, and use the various functionalities of our visualization tool with our comprehensive tutorial. You can view our general walk-through via:

You can also construct maps and add visual layers with our data. Learn more about setting up data maps to ArcGIS Online.

For more information on our mapping tools, check out our GLOBE OGC Web Map Service Documentation.

Long-term Data

The National Centers for Environmental Information (NCEI) manages the measurements of long-term air temperature (version 3 data set) and precipitation (version 2 data set) from the Global Historical Climatology Network (GHCN). You can download these data sets as a Google Earth KML file which displays the stations recording both these protocols. 

For more information about these datasets, check out the GHCN Monthly homepage

Learn how to use Google Earth with KML files to locate long-term data records.

Find Data for a Specific City

Download and view long-term air temperature and precipitation data records for specific cities in Google Earth. You can also download a city's measurements in a Comma Separated Value (CSV) file.

To find measurements for a specific city: 

  1. On your device, open Google Earth.
  2. Select "Projects," and then "Open."
  3. Select either "Import KML File from Computer" or "Import KML File from Google Drive."
  4. Select the file you want to view.
  5. Select "Open." 
  6. After the file is loaded, select the city you want to find measurements for.

City measurements are available in a monthly or yearly format, so make sure you're viewing data for the correct time interval you want to measure. Yearly averages should be performed on monthly data, while regional averages can be conducted on either monthly or yearly intervals. 

Learn more about viewing long-term air temperature and precipitation data sets.